Weekly Roadmap*
- Getting started with R and RStudio
- Plotting with
{ggplot2}
- Importing and transforming data
- Exploratory data analysis
- Interactive and animated plots
- Mapping (will work in relational data)
- Text mining
- Flexdashboards (and shiny apps)
- Tidymodels
- Reproducible workflows
*Â subject to change
Today’s plan
- Review tips for thinking about exploratory data analysis
- Learn some common first steps for summarizing and visualizing data while getting some practice with {
dplyr}
- RMarkdown goal: output to APA-style manuscript with {
papaja} package
Today’s plot goal
Last week: Importing Data
- Local files
- csv:
read.csv()
- RData:
load()
- Stata:
haven::read_dta()
- SPSS:
haven::read_sav()
- SAS:
haven::read_sas()
- Web
- csv:
read.csv(INSERT URL HERE)
- Google Sheets:
googlesheets4::read_sheet()
- APIs with
{httr} and {jsonlite}
- web scraping with
{rvest}